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Tool Detects Patterns Hidden in Vast Data Sets


December 16, 2011

illustration of a stack of paper Researchers from the Broad Institute and Harvard University have developed a tool that can tackle large data sets in a way that no other software program can. Part of a suite of statistical tools called MINE, it can tease out multiple patterns hidden in health information, statistics amassed from a season of major league baseball, data on the changing bacterial landscape of the gut, and more. The researchers report their findings in Science. Full Story

Source
Broad Institute of MIT and Harvard

See also: NSF News Release

The National Science Foundation (NSF) is an independent federal agency that supports fundamental research and education across all fields of science and engineering. In fiscal year (FY) 2016, its budget is $7.5 billion. NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and other institutions. Each year, NSF receives more than 48,000 competitive proposals for funding and makes about 12,000 new funding awards. NSF also awards about $626 million in professional and service contracts yearly.

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